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Optimizing City-Scale Traffic Through Modeling Observations of Vehicle Movements
16 references·0 citing·38 second hop
Optimizing City-Scale Traffic Through Modeling Observations of Vehicle Movements (2021)Optimizing City-Scale Traffic Through Mod…Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework (2020)Optimizing Transportation Dyn…Integrating mesoscopic dynamic traffic assignment with agent-based travel behavior models for cumulative land development impact analysis (2018)Integrating mesoscopic dynami…The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Sim…The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Sim…Integrating CEMDAP and MATSIM to Increase the Transferability of Transport Demand Models (2015)Integrating CEMDAP and MATSIM…A survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms (2014)Modeling of route planning sy…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …D4D-Senegal: The Second Mobile Phone Data for Development Challenge (2014)D4D-Senegal: The Second Mobil…The Big Book of Simulation Modeling: Multimethod Modeling with Anylogic 6 (2013)The Big Book of Simulation Mo…Urban computing with taxicabs (2011)Urban computing with taxicabsAgent-based approach to model commuter behaviour's day-to-day dynamics under pre-trip information (2011)Agent-based approach to model…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Enhancing MATSim with capabilities of within-day re-planning (2007)Enhancing MATSim with capabil…A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem (2000)A Linear Programming Model fo…TRANSIMS: Transportation analysis and simulation system (1995)TRANSIMS: Transportation anal…Creating synthetic baseline populations (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Shelter location and transportation planning under hurricane conditions (2012)Land use–transport interaction modeling: A review of the literature and future research directions (2015)Data for Development: the D4D Challenge on Mobile Phone Data (2012)Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal (2016)Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics (2018)Computational socioeconomics (2019)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Uncovering the spatial structure of mobility networks (2015)African Mining, Gender, and Local Employment (2016)Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China (2018)Reality mining: sensing complex social systems (2005)Understanding intra-urban trip patterns from taxi trajectory data (2012)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Revealing travel patterns and city structure with taxi trip data (2015)A Model and an Algorithm for the Dynamic Traffic Assignment Problems (1978)Urban transportation networks: Equilibrium analysis with mathematical programming methods (1986)Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: Model formulation and solution (2007)A decision support system for integrated hazardous materials routing and emergency response decisions (2008)Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains (2010)The Strength of Weak Ties (1973)Power-Law Distributions in Empirical Data (2009)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Power-law distributions in empirical data (2018)The universal visitation law of human mobility (2021)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Transport modelling in the age of big data (2017)Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning (2018)A Review of Public Transport Economics (2020)Dynamic cities: Location-based accessibility modelling as a function of time (2018)Schedule risk analysis of infrastructure projects: A hybrid dynamic approach (2018)Coordination, cooperation and collaboration in relief supply chain management (2019)A survey of human judgement and quantitative forecasting methods (2021)
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References

  • 2016The Multi-Agent Transport Simulation MATSim1,064 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
  • 2011Urban computing with taxicabs529 cited
  • 2000A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem498 cited
  • 2016The Multi-Agent Transport Simulation MATSim401 cited
  • 1995TRANSIMS: Transportation analysis and simulation system368 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2013The Big Book of Simulation Modeling: Multimethod Modeling with Anylogic 6313 cited
  • 2014D4D-Senegal: The Second Mobile Phone Data for Development Challenge121 cited
  • 2014Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms98 cited
  • 2015Integrating CEMDAP and MATSIM to Increase the Transferability of Transport Demand Models75 cited
  • 2007Enhancing MATSim with capabilities of within-day re-planning30 cited
  • 2018Integrating mesoscopic dynamic traffic assignment with agent-based travel behavior models for cumulative land development impact analysis24 cited

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2020
Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework
24 cited
  • 2011Agent-based approach to model commuter behaviour's day-to-day dynamics under pre-trip information10 cited
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